Inferred Shading Using Hierarchical GPU State Data

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Solution Overview

Problem

Existing graphics processing units (GPUs) face challenges in efficiently performing neural network operations due to their hierarchical processing architecture, which can lead to inefficiencies in executing neural networks, particularly in tasks like inferred shading.

Innovation Solution

Implementing neural networks on GPUs using hierarchical state information to optimize texture and shading operations, leveraging the GPU's parallel processing capabilities and cache hierarchy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Power

If hierarchical processing architecture is used in GPUs, then parallel processing capability is improved, but efficiency in executing neural networks deteriorates

Engineering Contradiction:

Improveparallel processing capabilityVSAvoidneural network execution efficiency

Core Design Contradiction:

PowerVSProductivity

Solution Approach 1:

The patent segments the neural network execution into multiple stages: hierarchical state information is extracted and stored separately, then used to guide subsequent processing operations. This segmentation allows the GPU to leverage its parallel architecture while maintaining efficiency by pre-processing and organizing data in a hierarchical manner before execution

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary extraction and storage of hierarchical state information from input data before the main neural network execution. This preliminary action prepares the data in an optimized format that allows the GPU's parallel processing units to operate more efficiently on structured information, reducing computational overhead during execution

Inventive Principle:

Principle #10Preliminary action

2Productivity

If hierarchical state information is used to optimize texture and shading operations, then performance is improved, but device complexity increases

Engineering Contradiction:

Improvetexture and shading operation performanceVSAvoidprocessing architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a universal hierarchical state information extraction mechanism that can be applied across multiple GPU operations including texture sampling, shading, and other graphics processing tasks. This multi-functional approach allows the same hierarchical processing framework to optimize various operations without requiring separate complex mechanisms for each task, thereby improving performance while limiting the increase in overall device complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250308150A1Inferred shading mechanism

Publication Date: 2025.10.02 INTEL CORP

AI summary

An apparatus to facilitate inferred object shading is disclosed. The apparatus comprises one or more processors to receive rasterized pixel data and hierarchical data associated with one or more objects and perform an inferred shading operation on the rasterized pixel data, including using one or more trained neural networks to perform texture and lighting on the rasterized pixel data to generate a pixel output, wherein the one or more trained neural networks uses the hierarchical data to learn a three-dimensional (3D) geometry, latent space and representation of the one or more objects.